Christophe Oudar

(Principal) Software (Data) engineer. Backend, AI & BigData at @Teads and a bit of OpenSource on data / mobile projects. blog:

[Christophe Oudar @Kayrnt]

@AnthropicAI @bunjavascript Great news! I hope we get to see more eyeballs on bun's pull requests 🙏
Mine is waiting for some attention 😅

[Christophe Oudar @Kayrnt]

SQLMesh, dbt and Fivetran... what's next? https://t.co/aFh7zpwfSZ

[Christophe Oudar @Kayrnt]

Past Years in Data Engineering and Current Trends (2025 Edition - Part 2) https://t.co/FYTq4UJik1

[Christophe Oudar @Kayrnt]

Past years data engineering and current trends (2025 edition) https://t.co/cpcyKP5luI

[Christophe Oudar @Kayrnt]

GROUP BY conference 2025 https://t.co/RtlmaCwcDn

[Christophe Oudar @Kayrnt]

I just published dbt Labs’ Developer Day: What They Announced and What They Left Unsaid https://t.co/1hVImHK8UF

[Christophe Oudar @Kayrnt]

What if dbt and SQLMesh were weapons https://t.co/AtjFl805Wn

[Outbrain @Outbrain]

We are pleased to announce the closing of our merger and the launch of our combined company, which will operate under the name Teads.

[Christophe Oudar @Kayrnt]

Backing up Slack on Iceberg with dlt & Dagster https://t.co/kc5x1IQW7v

[Christophe Oudar @Kayrnt]

I just published dbt-bigquery-monitoring: Monitoring BigQuery compute and storage with dbt https://t.co/VwL9TQdVZ8

[Christophe Oudar @Kayrnt]

I just published Microbatch on dbt? https://t.co/MwuQH4ISU6

[Christophe Oudar @Kayrnt]

Don't hesitate to share your thoughts as I'm eager for some feedbacks regarding that approach 👀

[Christophe Oudar @Kayrnt]

1/7 🚢 Navigating the complex world of reference data management
Ever struggled with maintaining consistent reference data across multiple environments? You're not alone.

[Christophe Oudar @Kayrnt]

6/7 Curious to learn more? Check out the full article here:
https://t.co/9QjdIjROuh

[Christophe Oudar @Kayrnt]

@__AlexMonahan__ @ProgRockRec Having a duckdb-kafka extension with the storage system to attach a cluster and treat topics as table on which you can simulate consumer/producer group as read/insert would be fun! It would work for exploration and batched inserts. If none does it and I find time someday... 😉

[Christophe Oudar @Kayrnt]

@__AlexMonahan__ Clearly an handy feature, I've a lot of shell files to test queries with extensions!
When you compare awk,cut,jq,... it's always so cryptic unless you're really familiar with it compared to SQL. Their syntax is compact but so unfriendly.